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Various. Network Workbench. Sci² Tool. CIShell Manual. Sci2 Tutorial. Cytoscape: An Open Source Platform for Complex Network Analysis and Visualization. Fast Thinking and Slow Thinking Visualisation. Last week I attended the Association of American Geographers Annual Conference and heard a talk by Robert Groves, Director of the US Census Bureau.

Fast Thinking and Slow Thinking Visualisation

Aside the impressiveness of the bureau’s work I was struck by how Groves conceived of visualisations as requiring either fast thinking or slow thinking. Fast thinking data visualisations offer a clear message without the need for the viewer to spend more than a few seconds exploring them. These tend to be much simpler in appearance, such as my map of the distance that London Underground trains travel during rush hour. The explicit message of this map is that surprisingly large distances are covered across the network and that the Central Line rolling stock travels furthest. It is up to the reader to work out why this may be the case. Or the seemingly impenetrable (from a distance at least), but wonderfully intricate hand drawn work of Steven Walter (click image for interactive version). Interactive Dynamics for Visual Analysis. Jeffrey Heer, Stanford University Ben Shneiderman, University of Maryland, College Park The increasing scale and availability of digital data provides an extraordinary resource for informing public policy, scientific discovery, business strategy, and even our personal lives.

Interactive Dynamics for Visual Analysis

To get the most out of such data, however, users must be able to make sense of it: to pursue questions, uncover patterns of interest, and identify (and potentially correct) errors. In concert with data-management systems and statistical algorithms, analysis requires contextualized human judgments regarding the domain-specific significance of the clusters, trends, and outliers discovered in data.

Visualization provides a powerful means of making sense of data. The goal of this article is to assist designers, researchers, professional analysts, procurement officers, educators, and students in evaluating and creating visual analysis tools. Some visualization system designers have explored alternative approaches. Over 100 Incredible Infographic Tools and Resources (Categorized)

This post is #6 in DailyTekk’s famous Top 100 series which explores the best startups, gadgets, apps, websites and services in a given category.

Over 100 Incredible Infographic Tools and Resources (Categorized)

Total items listed: 112. Time to compile: 8+ hours. Follow @DailyTekk on Twitter to make sure you don’t miss a week! Update: Be sure to check out our latest post on infographics: Infographics Are Everywhere – Here’s How to Make Yours Go Viral. I love a good infographic! You might also like: Post Navigation. Looking 4 data visualization. .

Looking 4 data visualization

Récapitulatif mensuel des tweets les plus influents sur le domaine de la datavisualisation : + de 18 400 tweets ont été publiés avec le hashtag #dataviz au mois de Juillet (une progression de 120% par rapport à l'année dernière). . Les cinq tweets les plus influents ont été publiés par les comptes @evalu8r, @erikstokstad, @drchriscole, @randal_olson et @advnturecaptlst. . Au programme : Une liste d’influenceurs, experts femme en datavisualisation, une analyse en réseau avec un ‘chord diagram’ des flux de nourriture aux Etats Unis, un graphique old school sous excel, comment sont perçus les americains dans le monde et une sélection d’articles et de nouvelles sur la datavisualisation. Not happy I had to write this new blog post: An Incomplete List of Females in #dataviz : — Stephanie Evergreen (@evalu8r) 9 Juillet 2014. Tableau Public. Stat eXplorer.

Interactive Statistical Visualization using Adobe Flash Statistics eXplorer integrates many common InfoVis and GeoVis methods required to make sense of statistical data, uncover patterns of interests, gain insight, tell-a-story and finally communicate knowledge.

Stat eXplorer

Statistics eXplorer was developed based on a component architecture and includes a wide range of visualization techniques enhanced with various interaction techniques and interactive features to support better data exploration and analysis. It also supports multiple linked views and integrated storytelling with a snapshot mechanism for capturing discoveries made during the exploratory data analysis process which can be used for sharing gained knowledge. The eXplorer applications are available on the NCVA/LiU web site for educational and research usage only. Learn more about eXplorer through these 2 videos: Introduction to eXplorer eXplorer Data Management Explore, present and communicate. Weave (Web-based Analysis and Visualization Environment) Weave. Search: Weave Wiki Start pageIndex by titleIndex by date History Weave Wiki¶ Weave has been developed at the Institute for Visualization and Perception Research of the University of Massachusetts Lowell in partnership with the Open Indicators Consortium, a national collaborative of public and nonprofit organizations working to improve access to more and higher quality data.


See the Weave Beta 1.0 Announcement for details on the release of Weave in June 2011. Please check the information below for demos, download and documentation for Weave For users:¶ Desktop version (2014.04.07) AIR package: WeaveDesktop.air (requires Adobe AIR) Windows installer: WeaveDesktop.exe Weave User Guide. Gapminder. Socrata. Visual Web Scraping and Web Automation Tool for FREE. Web-Harvest.